CN104408923A - Method and device for evaluating traffic state - Google Patents
Method and device for evaluating traffic state Download PDFInfo
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- CN104408923A CN104408923A CN201410727518.5A CN201410727518A CN104408923A CN 104408923 A CN104408923 A CN 104408923A CN 201410727518 A CN201410727518 A CN 201410727518A CN 104408923 A CN104408923 A CN 104408923A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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Abstract
The embodiment of the invention discloses a method and a device for evaluating traffic state. The method for evaluating the traffic state comprises the following steps of acquiring a positioning track of a user; using a map for matching to obtain a road section corresponding to the positioning track; extracting the characteristic attribute of the positioning track corresponding to the road section; judging the traffic state of the road section according to the characteristic attribute. According to the method and the device for evaluating the traffic state, provided by the embodiment of the invention, the efficiency and the accuracy of evaluation process of the traffic state are improved.
Description
Technical field
The embodiment of the present invention relates to technical field of intelligent traffic, particularly relates to a kind of traffic behavior appraisal procedure and device.
Background technology
Along with socioeconomic development, automobile is more and more higher in the popularity of average family.The problem caused thus is that the traffic congestion in city becomes more and more serious.By obtaining road net traffic state, the traffic in city can being reflected in real time, providing important reference data for alleviating urban traffic blocking.
The mode of current acquisition city road net traffic state depends on traditional equipment, such as annular coil detecting device, remote microwave detecting device, video monitoring etc.These traditional equipment generally manufacture with installation cost higher, have certain loss characteristic, and the maintenance cost of equipment is relatively high.In data accuracy, the data precision of legacy equipment is subject to the impact of the external conditions such as the weather of region, and legacy equipment position is fixed, and the region that can detect is very limited.Traditional detection means is relied on to be difficult to obtain city road net traffic state comparatively accurately efficiently.
Summary of the invention
In view of this, the embodiment of the present invention proposes a kind of traffic behavior appraisal procedure and device, to improve efficiency and the accuracy of traffic behavior assessment.
First aspect, embodiments provide a kind of traffic behavior appraisal procedure, described method comprises:
Obtain the positioning track of user;
The road section corresponding to described positioning track is obtained by map match;
Extract the characteristic attribute of the positioning track corresponding to road section, and judge the traffic behavior of described road section according to described characteristic attribute.
Second aspect, embodiments provide a kind of traffic behavior apparatus for evaluating, described device comprises:
Track acquisition module, for obtaining the positioning track of user;
Map-matching module, for obtaining the road section corresponding to described positioning track by map match;
Condition judgment module, for extracting the characteristic attribute of the positioning track corresponding to road section, and judges the traffic behavior of described road section according to described characteristic attribute.
The traffic behavior appraisal procedure that the embodiment of the present invention provides and device, by obtaining the positioning track of user, the road section corresponding to described positioning track is obtained by map match, extract the characteristic attribute of the positioning track corresponding to road section, and the traffic behavior of described road section is judged according to described characteristic attribute, thus the positioning track of the locating terminal of user can be utilized to judge the traffic behavior of different road section on map, improve efficiency and the accuracy of traffic behavior evaluation process.
Accompanying drawing explanation
By reading the detailed description done non-limiting example done with reference to the following drawings, other features, objects and advantages of the present invention will become more obvious:
Fig. 1 is the process flow diagram of the traffic behavior appraisal procedure that first embodiment of the invention provides;
Fig. 2 is the design sketch of the map match that first embodiment of the invention provides;
Fig. 3 is the process flow diagram of the traffic behavior appraisal procedure that second embodiment of the invention provides;
Fig. 4 is the process flow diagram of map match in the traffic behavior appraisal procedure that provides of third embodiment of the invention;
Fig. 5 is the process flow diagram of the traffic behavior appraisal procedure that fourth embodiment of the invention provides;
Fig. 6 is the process flow diagram of condition adjudgement in the traffic behavior appraisal procedure that provides of fourth embodiment of the invention;
Fig. 7 is the process flow diagram of the traffic behavior appraisal procedure that fifth embodiment of the invention provides;
Fig. 8 is the structural drawing of the traffic behavior apparatus for evaluating that sixth embodiment of the invention provides.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, illustrate only part related to the present invention in accompanying drawing but not full content.
Fig. 1 shows the first embodiment of the present invention.
Fig. 1 is the process flow diagram of the traffic behavior appraisal procedure that first embodiment of the invention provides.See Fig. 1, described traffic behavior appraisal procedure comprises:
S110, obtains the positioning track of user.
Described positioning track is that user is obtained by mobile terminal, the track in the path of process when recording user is gone out.Described positioning track can be obtained by satellite positioning tech, also can be obtained by network based positioning technology, can also be to be obtained by WLAN (wireless local area network) (Wireless local area network, WLAN) location technology.
Described positioning track can be recorded in the local daily record of the electronic chart application that user terminal stores, and also can be recorded in the user journal of service end storage of electronic chart application.Therefore, obtaining the daily record of described location can be collect the local daily record being recorded in the electronic chart application that user terminal stores, and also can be the user journal that the service end of collecting the application of described electronic chart stores.
In the present embodiment, in order to ensure the order of accuarcy of the judgement of the traffic behavior to different road section, the data scale of the positioning track got is generally magnanimity.Concrete, the quantity of the positioning track of the user got is generally more than 100,000.
S120, obtains the road section corresponding to described positioning track by map match.
After the positioning track getting user, obtain the road section corresponding to described positioning track by map matching technology.Concrete, road section corresponding to described positioning track can be obtained by the map matching technology of the overall situation, road section corresponding to described positioning track can also be obtained by map matching technology locally.
Fig. 2 is the design sketch of the map match that first embodiment of the invention provides.See Fig. 2, after map match, can road section 201 on the map corresponding to positioning track of consumer positioning accurately.
S130, extracts the characteristic attribute of the positioning track corresponding to road section, and judges the traffic behavior of described road section according to described characteristic attribute.
Because the data scale of the positioning track collected is comparatively large, so the characteristic attribute of collected positioning track embodies the traffic behavior of the road section corresponding to it to a great extent.Therefore, the traffic behavior of the road section corresponding to described positioning track can be judged by the characteristic attribute extracting described positioning track.
Preferably, can by extracting the average overall travel speed of described positioning track or traffic density, and the traffic behavior of the road section corresponding to described positioning track is judged according to the average overall travel speed of described positioning track or traffic density.
In addition, preferably, average overall travel speed and the traffic density of described positioning track can also be extracted simultaneously, by machine learning algorithm, above-mentioned two attribute data are merged, judge with the comprehensive traffic behavior of above-mentioned two attribute data to described road section.
The present embodiment is by obtaining the positioning track of user, the road section corresponding to described positioning track is obtained by map match, and the characteristic attribute of positioning track corresponding to extraction road section, and the traffic behavior of described road section is judged according to described characteristic attribute, thus the real-time or historical traffic state in different road and section in city is judged according to the positioning track of the user collected, improve efficiency and the accuracy of traffic behavior evaluation process.
Fig. 3 shows the second embodiment of the present invention.
Fig. 3 is the process flow diagram of the traffic behavior appraisal procedure that second embodiment of the invention provides.Described traffic behavior appraisal procedure is based on first embodiment of the invention, further, after the positioning track obtaining user, before obtaining road section corresponding to described positioning track by map match, also comprise: described positioning track is screened, to remove positioning track invalid in described positioning track.
See Fig. 3, described traffic behavior appraisal procedure comprises:
S310, obtains the positioning track of user.
S320, screens described positioning track, to remove positioning track invalid in described positioning track.
The positioning track that described invalid positioning track is formed when comprising user's walking, the discontinuous positioning track of the inaccurate positioning track in position location and position location.
The positioning track formed during user's walking can by calculating user and forming described positioning track time gait of march identify.Concrete, if by the gait of march that calculates user on discovery positioning track lower than certain threshold speed, then the positioning track that this positioning track is formed when being user's walking can be identified.Article one, on positioning track, the gait of march of user can be calculated by the space length between the writing time of diverse location point on described positioning track and described location point.
The inaccurate positioning track in position location can identify by the coordinate of location point in described positioning track and the coordinate of Roads in Maps being compared.Concrete, if there is larger deviation between the coordinate of location point and the coordinate of road in described positioning track, then can identify that described positioning track is the inaccurate positioning track in position location.
The discontinuous positioning track in position location also can by calculating user and forming described positioning track time gait of march identify.Concrete, if the gait of march of the user in a positioning track corresponding to any a section is lower than the discontinuous path velocity threshold value preset, then can identify that described positioning track is the discontinuous positioning track in position location.
After identifying positioning track invalid in collected positioning track, from described positioning track, remove described invalid positioning track, with ensure the positioning track of the traffic behavior for judging road section be all accurately, believable positioning track.
S330, obtains the road section corresponding to the rear remaining positioning track of screening by map match.
S340, extracts the characteristic attribute of the positioning track corresponding to road section, and judges the traffic behavior of described road section according to described characteristic attribute.
The present embodiment is by after the positioning track getting user, described positioning track is screened, to remove positioning track invalid in described positioning track, thus invalid positioning track is eliminated from the positioning track for judging traffic behavior, the traffic behavior judged result that foundation positioning track is obtained is more accurate.
Fig. 4 shows the third embodiment of the present invention.
Fig. 4 is the process flow diagram of map match in the traffic behavior appraisal procedure that provides of third embodiment of the invention.Described traffic behavior appraisal procedure is based on the above embodiment of the present invention, further, the road section obtained corresponding to described positioning track by map match is comprised: according to described positioning track the title of road of process, described positioning track is divided into orbit segment; The road section corresponding to described orbit segment is obtained by map match.
See Fig. 4, the road section obtained corresponding to described positioning track by map match is comprised:
S331, according to described positioning track the title of road of process, described positioning track is divided into orbit segment.
Be understandable that, a positioning track often can through multiple different road.But, when assessing the traffic behavior of different sections of highway, at least to assess traffic behavior in units of road.And, for the longer road of distance, need this road to be divided into different sections and the assessment of carrying out traffic behavior respectively.
So, if do not divided the positioning track of user, because the different piece in a positioning track corresponds to different road, then only some can be ultimately used for the assessment of traffic behavior to a complete positioning track.
The mode solving above-mentioned contradiction is, the positioning track that be have passed through different road according to the title of road of process be divided into different orbit segments, and use the orbit segment after dividing to assess the traffic behavior of different roads.Like this, the positioning track of the user collected just can be utilized completely, improves the utilization factor of raw data.
It should be noted that, when the division positioning track, except the title of the road corresponding to the different piece considering described positioning track, can also further divide described positioning track according to the position of the fork in the road on described road.The splitting scheme of this orbit segment mainly for a road the space length of process longer, itself is divided into again the situation in multiple section according to the position of the fork in the road of its process.
S332, obtains the road section corresponding to described orbit segment by map match.
After described positioning track is divided into orbit segment according to the title of road, namely can obtain road section corresponding to described orbit segment by map matching technology.
The present embodiment by according to described positioning track the title of road of process; described positioning track is divided into orbit segment; the road section corresponding to described orbit segment is obtained again by map match; make the different piece in positioning track by the effective assessment for traffic behavior, the data user rate of traffic behavior assessment can be improve.
Fig. 5 and Fig. 6 shows the fourth embodiment of the present invention.
Fig. 5 is the process flow diagram of the traffic behavior appraisal procedure that fourth embodiment of the invention provides.Described traffic behavior appraisal procedure is based on the third embodiment of the present invention, further, extract the characteristic attribute of the positioning track corresponding to road section, and judge that the traffic behavior of described road section comprises according to described characteristic attribute: the characteristic attribute extracting the orbit segment corresponding to road section, and the traffic behavior of described road section is judged according to described characteristic attribute.
See Fig. 5, described traffic behavior appraisal procedure comprises:
S510, obtains the positioning track of user.
S520, screens described positioning track, to remove positioning track invalid in described positioning track.
S530, obtains the road section corresponding to described positioning track by map match.
The road section obtained corresponding to described positioning track by map match is comprised: according to described positioning track the title of road of process, described positioning track is divided into orbit segment; The road section corresponding to described orbit segment is obtained by map match.
S540, extracts the characteristic attribute of the orbit segment corresponding to road section, and judges the traffic behavior of described road section according to described characteristic attribute.
Due to when being obtained the road section corresponding to described positioning track by map match; described positioning track is divided in order to orbit segment; so when judging the traffic behavior of described road section; the characteristic attribute of the orbit segment after division can be extracted, and judge the traffic behavior of described road section according to described characteristic attribute.
Concrete, by extracting average overall travel speed or the traffic density of the orbit segment after dividing, and the traffic behavior of described road section can be judged according to average overall travel speed or traffic density.
Average overall travel speed and the traffic density of the orbit segment after division can also be extracted simultaneously, and according to average overall travel speed and traffic density comprehensive descision the traffic behavior of road section.
Fig. 6 is the process flow diagram of condition adjudgement in the traffic behavior appraisal procedure that provides of fourth embodiment of the invention.See Fig. 6, extract the characteristic attribute of the orbit segment corresponding to road section, and judge that the traffic behavior of described road section comprises according to described characteristic attribute:
S541, calculates the average overall travel speed of the different tracks section corresponding to described road section, and judges the traffic behavior of described road section according to described average overall travel speed.
Because different location point on the positioning track collected is to the recording time information that should have this location point, so the location point on orbit segment after dividing described positioning track also records above-mentioned recording time information.There is above-mentioned recording time information, the travel speed of user on described orbit segment can be obtained by simple division arithmetic, the travel speed of orbit segments different on same road section is being averaging, just can obtaining the average overall travel speed of described orbit segment.
When tried to achieve average overall travel speed is higher than a default unimpeded judgement travel speed threshold value, can judge that the traffic behavior of described road section is as unimpeded state; When tried to achieve average overall travel speed judges travel speed threshold value lower than another default blocking up, can judge that the traffic behavior of described road section is as congestion status; When tried to achieve average overall travel speed be in described unimpeded judgement travel speed threshold value and described block up judge between travel speed threshold value time, can judge that the traffic behavior of described road section is as jogging state.
S542, adds up the traffic density on described road section, and judges the traffic behavior of described road section according to described traffic density.
Because have the generally employing of the mobile terminal of positioning function, and the data scale of the user's positioning track collected is larger, can by the tracking quantity of the described positioning track of statistics on different road section, obtain the traffic density on described road section, and then judge the traffic behavior of described road section according to described traffic density.
Concrete, obtain the traffic density of described road section by adding up the quantity of the orbit segment in the time period on described road section.When described traffic density is greater than default unimpeded judgement traffic density threshold value, judge that the traffic behavior of described road section is as unimpeded state; When described traffic density be less than default block up judge traffic density threshold value time, judge that the traffic behavior of described road section is as congestion status; When described traffic density be in described unimpeded judgement traffic object threshold value and described block up judge between traffic density threshold value time, judge that the traffic behavior of described road section is as jogging state.
S543, sets up support vector machine (Support vector machine, SVM) according to the average overall travel speed of described road section and traffic density, and judges the traffic behavior of described road section according to the output of described SVM.
Except the assessment mode of above-mentioned two kinds of traffic behaviors, the average overall travel speed corresponding to described road section and traffic density can be extracted simultaneously, and build SVM according to the training data marking traffic behavior.After constructing SVM, utilize the SVM built, the average overall travel speed of the orbit segment corresponding to described road section and traffic density provide the final judgement of the traffic behavior of described road section.
Concrete, described SVM is obtained by training according to the training data marking traffic behavior.The described training data marking traffic behavior has specifically marked the positioning track set of traffic behavior.Described traffic behavior comprises unimpeded state, jogging state and congestion status.Further, by the process to described positioning track set, average overall travel speed and the traffic density of the road section corresponding to described positioning track can be drawn.When training described SVM, SVM distinguishes the lineoid of above-mentioned three kinds of traffic behaviors by identifying the study of described training data.Further, in the decision stage of traffic behavior, the traffic behavior of described road section is determined according to the average overall travel speed of described road section and traffic density.
The above-mentioned traffic behavior according to average overall travel speed is assessed, according to the assessment of the traffic behavior of traffic density and the implementation belonging to three kinds of different traffic behavior assessments according to the traffic behavior assessment of SVM.When concrete execution traffic behavior assessment, one can be selected from above-mentioned three kinds of implementations, as the mode of operation that final traffic behavior is assessed.
The characteristic attribute of the orbit segment after the present embodiment is divided by extraction positioning track assesses the traffic behavior of the road section corresponding to described orbit segment; and concrete gives the three kinds of implementations assessing traffic behavior according to average overall travel speed, traffic density and SVM, achieves the accurate evaluation of the traffic behavior to road section.
Fig. 7 shows the fifth embodiment of the present invention.
Fig. 7 is the process flow diagram of the traffic behavior appraisal procedure that fifth embodiment of the invention provides.Described traffic behavior appraisal procedure is based on first embodiment of the invention, further, extracting the characteristic attribute of the positioning track corresponding to road section, and judge the traffic behavior of described road section according to described characteristic attribute after, also comprise: the judged result utilizing the traffic behavior to described road section, the accuracy of checking third party traffic state data.
S710, obtains the positioning track of user.
S720, obtains the road section corresponding to described positioning track by map match.
S730, extracts the characteristic attribute of the positioning track corresponding to road section, and judges the traffic behavior of described road section according to described characteristic attribute.
S740, utilizes the judged result of the traffic behavior to described road section, the accuracy of checking third party traffic state data.
Because the traffic behavior judged result adopting traffic behavior appraisal procedure provided by the present invention to obtain itself has higher accuracy, therefore described traffic behavior judged result can the accuracy of user rs authentication third party traffic state data.Concrete, the accuracy of checking third party traffic state data comprises the accuracy rate of checking third party traffic state data, recall rate of blocking up, jogging recall rate and unimpeded recall rate.
The accuracy rate of described third party's traffic state data can obtain divided by the sum of the road section occurred in described traffic behavior judged result and described third party's traffic state data by calculating the quantity of the road section that result of determination is identical in described traffic behavior judged result and described third party's traffic state data.
By calculating, described recall rate of blocking up can all be judged to be that in described traffic behavior judged result and described third party's traffic state data the quantity of the road section blocked up is the sum of road section blocked up and obtaining divided by the judgement occurred in described traffic behavior judged result and described third party's traffic state data.
Described jogging recall rate can by calculate all be judged to be in described traffic behavior judged result and described third party's traffic state data walk or drive slowly road section quantity divided by the judgement occurred in described traffic behavior judged result and described third party's traffic state data for jogging road section sum and obtain.
By calculating, described unimpeded recall rate can all be judged to be that in described traffic behavior judged result and described third party's traffic state data the quantity of unimpeded road section is the sum of unimpeded road section and obtaining divided by the judgement occurred in described traffic behavior judged result and described third party's traffic state data.
The present embodiment is by the characteristic attribute of the positioning track corresponding to extraction road section, and judge the traffic behavior of described road section according to described characteristic attribute after, utilize the judged result to the traffic behavior of described road section, the accuracy of checking third party traffic state data
Fig. 8 shows the sixth embodiment of the present invention.
Fig. 8 is the structural drawing of the traffic behavior apparatus for evaluating that sixth embodiment of the invention provides.See Fig. 8, described traffic behavior apparatus for evaluating comprises: track acquisition module 810, map-matching module 830 and condition judgment module 840.
Described track acquisition module 810 is for obtaining the positioning track of user.
Described map-matching module 830 is for obtaining the road section corresponding to described positioning track by map match.
Described condition judgment module 840 for extracting the characteristic attribute of the positioning track corresponding to road section, and judges the traffic behavior of described road section according to described characteristic attribute.
Preferably, described traffic behavior apparatus for evaluating also comprises: track screening module 820.
Described track screening module 820, for after the positioning track obtaining user, before obtaining road section corresponding to described positioning track, is screened described positioning track, to remove positioning track invalid in described positioning track by map match.
Preferably, described map-matching module 830 comprises: track division unit 831 and section acquiring unit 832.
Described track division unit 831 for according to described positioning track the title of road of process, described positioning track is divided into orbit segment.
Described section acquiring unit 832 is for obtaining the road section corresponding to described orbit segment by map match.
Preferably, described condition judgment module 840 comprises: orbit segment judging unit 841.
Described orbit segment judging unit 841 for extracting the characteristic attribute of the orbit segment corresponding to road section, and judges the traffic behavior of described road section according to described characteristic attribute.
Preferably, described orbit segment judging unit 841 specifically for:
Calculate the average overall travel speed of the different tracks section corresponding to described road section, and judge the traffic behavior of described road section according to described average overall travel speed;
Add up the traffic density on described road section, and judge the traffic behavior of described road section according to described traffic density; Or
Set up support vector machines according to the average overall travel speed of described road section and traffic density, and judge the traffic behavior of described road section according to the output of described SVM.
Preferably, described traffic behavior apparatus for evaluating also comprises: Data Verification module 850.
Described Data Verification module 850 is for the characteristic attribute of the positioning track corresponding to extraction road section, and judge the traffic behavior of described road section according to described characteristic attribute after, utilize the judged result to the traffic behavior of described road section, the accuracy of checking third party traffic state data.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
Those of ordinary skill in the art should be understood that, above-mentioned of the present invention each module or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on network that multiple calculation element forms, alternatively, they can realize with the executable program code of computer installation, thus they storages can be performed by calculation element in the storage device, or they are made into each integrated circuit modules respectively, or the multiple module in them or step are made into single integrated circuit module to realize.Like this, the present invention is not restricted to the combination of any specific hardware and software.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, the same or analogous part between each embodiment mutually see.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, to those skilled in the art, the present invention can have various change and change.All do within spirit of the present invention and principle any amendment, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (12)
1. a traffic behavior appraisal procedure, is characterized in that, comprising:
Obtain the positioning track of user;
The road section corresponding to described positioning track is obtained by map match;
Extract the characteristic attribute of the positioning track corresponding to road section, and judge the traffic behavior of described road section according to described characteristic attribute.
2. method according to claim 1, is characterized in that, after the positioning track obtaining user, before obtaining road section corresponding to described positioning track, also comprises by map match:
Described positioning track is screened, to remove positioning track invalid in described positioning track.
3. method according to claim 1 and 2, is characterized in that, the road section obtained corresponding to described positioning track by map match is comprised:
According to described positioning track the title of road of process, described positioning track is divided into orbit segment;
The road section corresponding to described orbit segment is obtained by map match.
4. method according to claim 3, is characterized in that, extracts the characteristic attribute of the positioning track corresponding to road section, and judges that the traffic behavior of described road section comprises according to described characteristic attribute:
Extract the characteristic attribute of the orbit segment corresponding to road section, and judge the traffic behavior of described road section according to described characteristic attribute.
5. method according to claim 4, is characterized in that, extracts the characteristic attribute of the orbit segment corresponding to road section, and judges that the traffic behavior of described road section comprises according to described characteristic attribute:
Calculate the average overall travel speed of the different tracks section corresponding to described road section, and judge the traffic behavior of described road section according to described average overall travel speed;
Add up the traffic density on described road section, and judge the traffic behavior of described road section according to described traffic density; Or
Set up support vector machines according to the average overall travel speed of described road section and traffic density, and judge the traffic behavior of described road section according to the output of described SVM.
6. method according to claim 1, is characterized in that, is extracting the characteristic attribute of the positioning track corresponding to road section, and judge the traffic behavior of described road section according to described characteristic attribute after, is also comprising:
Utilize the judged result to the traffic behavior of described road section, the accuracy of checking third party traffic state data.
7. a traffic behavior apparatus for evaluating, is characterized in that, comprising:
Track acquisition module, for obtaining the positioning track of user;
Map-matching module, for obtaining the road section corresponding to described positioning track by map match;
Condition judgment module, for extracting the characteristic attribute of the positioning track corresponding to road section, and judges the traffic behavior of described road section according to described characteristic attribute.
8. device according to claim 7, is characterized in that, also comprises:
Track screening module, for after the positioning track obtaining user, before obtaining road section corresponding to described positioning track, screens described positioning track, to remove positioning track invalid in described positioning track by map match.
9. the device according to claim 7 or 8, is characterized in that, described map-matching module comprises:
Track division unit, for according to described positioning track the title of road of process, described positioning track is divided into orbit segment;
Section acquiring unit, for obtaining the road section corresponding to described orbit segment by map match.
10. device according to claim 9, is characterized in that, described condition judgment module comprises:
Orbit segment judging unit, for extracting the characteristic attribute of the orbit segment corresponding to road section, and judges the traffic behavior of described road section according to described characteristic attribute.
11. devices according to claim 10, is characterized in that, described orbit segment judging unit specifically for:
Calculate the average overall travel speed of the different tracks section corresponding to described road section, and judge the traffic behavior of described road section according to described average overall travel speed;
Add up the traffic density on described road section, and judge the traffic behavior of described road section according to described traffic density; Or
Set up support vector machines according to the average overall travel speed of described road section and traffic density, and judge the traffic behavior of described road section according to the output of described SVM.
12. devices according to claim 7, is characterized in that, also comprise:
Data Verification module, for the characteristic attribute of the positioning track corresponding to extraction road section, and judge the traffic behavior of described road section according to described characteristic attribute after, utilize the judged result of the traffic behavior to described road section, the accuracy of checking third party traffic state data.
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| CN106610981A (en) * | 2015-10-22 | 2017-05-03 | 北京四维图新科技股份有限公司 | Verification and upgrading method and system for road information in electronic map |
| CN107293117A (en) * | 2017-07-04 | 2017-10-24 | 清华大学 | A kind of determination methods of highway anomalous event |
| CN108734956A (en) * | 2017-04-20 | 2018-11-02 | 腾讯科技（深圳）有限公司 | The road condition data acquisition methods and device of electronic map |
| CN110782655A (en) * | 2019-02-26 | 2020-02-11 | 北京嘀嘀无限科技发展有限公司 | Method and device for detecting passing low-efficiency reasons |
| CN111613052A (en) * | 2019-02-25 | 2020-09-01 | 北京嘀嘀无限科技发展有限公司 | Traffic condition determining method and device, electronic equipment and storage medium |
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